{"id":"W4285239531","doi":"10.1590/1980-265x-tce-2021-0157pt","title":"PRÉ-FRAGILIDADE EM PESSOAS IDOSAS: PREVALÊNCIA E FATORES ASSOCIADOS","year":2022,"lang":"pt","type":"article","venue":"Texto & Contexto - Enfermagem","topic":"Frailty in Older Adults","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gerontology; Gynecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211657,0.0004280589,0.0005794988,0.002041925,0.0007085773,0.0007957117,0.0003379261,0.0004811287,0.002022153],"category_scores_gemma":[0.003652197,0.0003585711,0.001027183,0.00199697,0.0003949224,0.0003804568,0.000869691,0.0005921331,0.0001976739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006553718,"about_ca_system_score_gemma":0.001078371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212318,"about_ca_topic_score_gemma":0.02997183,"domain_scores_codex":[0.999343,0.0001638449,0.00009945604,0.00009414082,0.0001532003,0.0001463943],"domain_scores_gemma":[0.9980218,0.0003888488,0.001004878,0.00007853039,0.0002874427,0.0002185166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005736127,0.00002808043,0.9956139,0.0001030447,0.0000546853,0.00005184008,0.0004342794,0.00001950428,0.0001052362,0.00002174879,0.00004147843,0.003468835],"study_design_scores_gemma":[0.000002312006,0.0001058024,0.9975569,0.000131039,0.00005409127,0.0002954668,0.001350212,0.00006753115,0.00006350164,0.00003693851,0.0003307248,0.000005447589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931446,0.004405739,0.0001849809,0.0001733787,0.00001654199,0.00003909316,0.0008549907,0.000006476825,0.001174179],"genre_scores_gemma":[0.9981198,0.001128041,0.0002698179,0.00002844483,0.000009232747,0.00002346463,0.0002216443,0.000001061487,0.0001984737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02212318,"threshold_uncertainty_score":0.04398882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2731185506146115,"score_gpt":0.4423175204173634,"score_spread":0.169198969802752,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}